Skip to main content
SimilarExport ZIP
100%

Activity6_Question3

✓ Published0🌍 Public
Gganeshseeram5decem@gmail.com
Last edited Apr 5, 2024
Created on Apr 5, 2024
Forked from Activity6_Task3.2

This scatter plot visualizes the Iris flower dataset, mapping sepal length on the x-axis and petal length on the y-axis, with three species distinguished by distinct symbol shapes. It loads data from a remote CSV, parses it with `d3.csvParse`, and renders marks using `d3.scaleLinear`, `d3.scaleOrdinal`, and the `symbol` generator. The chart includes labeled axes via custom D3 axes modules and a shape legend, all built with D3 v7 selections and joins.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Question3activity6

This scatter plot visualizes the relationship between sepal length and petal length for different iris species, using distinct symbols to differentiate each species. The visualization is built with D3 v7, employing `scaleLinear` for the axes, `scaleOrdinal` and `symbolsFill` to assign shapes, and `symbol` to render the data points. A legend, created via `shapeLegend`, maps each species to its corresponding symbol. The data is loaded from a CSV file and rendered using the `scatterPlot` and `axes` functions.

Gganeshrajuparmalla@my.unt.edu
94% match
Loading thumbnail…

Activity6 task3.2

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length. Each point is rendered as a distinct symbol—circle, cross, or square—to represent the three species of Iris flowers, categorized on a categorical color scale. The visualization is built using D3.js (v7), using the `scaleLinear` and `scaleOrdinal` APIs to map data to positions and symbols. Axes and a shape legend are drawn using custom `axes` and `shapeLegend` modules, which utilize D3’s `axisLeft` and `axisBottom` functions. Data is loaded from a remote CSV file and parsed with `csvParse`.

Hhkodiripaka15@gmail.com
94% match
Loading thumbnail…

Activity6-Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length for three species of iris flowers. Each species is represented by a distinct symbol shape (circle, cross, diamond, and others) generated using d3’s `symbol` API, with a legend identifying the shape-to-species mapping. The chart uses d3’s `scaleLinear` for both axes and `scaleOrdinal` for the shapes, while the axes and legend are built through custom modules (`axes.js` and `shapeLegend.js`). Data is loaded asynchronously from a GitHub-hosted CSV and parsed with `csvParse`.

Ggoudrohit2000@gmail.com
94% match
Loading thumbnail…

Activity6question3

This scatter plot visualizes the Iris dataset, showing sepal length against petal length for three species of iris flowers. The D3.js v7 implementation uses d3.scaleLinear to map the quantitative axes and d3.scaleOrdinal with symbolsFill to encode species through distinct point shapes. A custom shape legend component displays the species categories, while the chart pulls data from a remote CSV file using d3.csvParse and renders the plot with SVG paths generated by d3.symbol.

Vvaishnavi6gan@gmail.com
94% match
Loading thumbnail…

Activity-6 Task3.1

This scatter plot visualizes the Iris dataset, showing sepal length against petal length for three flower species. Each species is distinguished by a distinct symbol shape, with a legend explaining the mapping. The visualization uses D3 v7's `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position points and generate shapes, with axes created via `axisLeft` and `axisBottom`. Data is loaded asynchronously from a CSV file and parsed with `csvParse`.

Hharshaps15@gmail.com
94% match
Loading thumbnail…

Activity6_Task3-2

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by different symbol shapes. The visualization loads the data from a remote CSV file using `d3.csvParse` and renders it using D3 v7. It employs `scaleLinear` for axes, `scaleOrdinal` for shape mapping, and `axisLeft`/`axisBottom` for tick marks. A custom shape legend, built with `d3.symbol`, displays the species labels.

Kkowshiksamudrala08@gmail.com
94% match
Loading thumbnail…

Activity-6_Question-3

This scatter plot shows the relationship between sepal length and petal length for three iris species, with each species distinguished by a unique symbol shape and a corresponding legend. The visualization uses d3.scaleLinear for the x and y axes, d3.scaleOrdinal to map species to d3.symbolsFill shapes, and d3.axisLeft and d3.axisBottom for the axes. Data is loaded asynchronously from a CSV file and parsed with d3.csvParse, with the chart rendered using D3 v7’s data join pattern.

RRISHIK KURIKELLY
94% match
Loading thumbnail…

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each species represented by a distinct symbol shape. The plot encodes the three Iris species through shape, using d3.scaleOrdinal with symbolsFill to assign different geometric marks, while a custom legend explains the species mapping. Axes are rendered via d3.axisLeft and d3.axisBottom, with labels for both dimensions. The data is loaded asynchronously from a GitHub-hosted CSV file using d3.csvParse, and the visualization updates through a state management pattern that handles loading and rendering.

Nnikhilthoutu24@gmail.com
94% match